MLRun version 0.6.5 is now generally available. The release includes the following:
- Supports node selectors when running a new job
- Feature Store updates:
- Improved ingestion and aggregation logic and performance
- Model UI now includes information about the feature vector
- Kubernetes secrets provider is now supported
- Enables mpijob as an MLRun runtime
- Additional logging capabilities of PyTorch and Tensorflow models using TensorBoard
- A new option to create new functions via the UI